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Contrast Enhancement in Poor Visibility Conditions Using Guided Filtering

机译:使用引导过滤在可见度较差的条件下增强对比度

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摘要

In this paper, extraction of atmospheric veil is proposed to enhance the contrast of the images captured under poor visibility conditions. The method based on guided filtering can accurately recover hidden edges, maintain structural similarity (SSIM) to input image and it is effective for both color and gray level images. The proposed algorithm works without prior information about the scene and its complexity is linear function of the input image size. Experimental comparisons with state of the art algorithms demonstrate that our approach can significantly enhance the contrast and restore the visibility in fine details.
机译:在本文中,提出了大气面纱的提取以增强在可见性差的情况下捕获的图像的对比度。基于导引滤波的方法可以准确地恢复隐藏的边缘,保持输入图像的结构相似性(SSIM),对彩色和灰度图像均有效。所提出的算法无需关于场景的先验信息即可工作,其复杂度是输入图像大小的线性函数。与最先进算法的实验比较表明,我们的方法可以显着增强对比度,并在细节上恢复可见性。

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